Syed Ali Hamza

Syed Ali Hamza, PhD, is an Assistant Professor in the Department of Electrical Engineering at Widener University’s School of Engineering. His research focuses on radar sensing, signal processing, and machine learning applications in self-driving cars, healthcare, and communication systems. He holds a PhD in Electrical Engineering from Villanova University (2020).

Education:

• PhD in Electrical Engineering, Villanova University (2020)

Research Interests:

Hamza’s work addresses challenges in high-resolution radar imaging for autonomous vehicles, RF sensing for healthcare monitoring (e.g., fall detection, remote patient monitoring), and optimizing radar-communication coexistence via AI-driven solutions. His technical contributions include sparse array design, cognitive radar systems, and adaptive beamforming for 6G networks.

Grants & Awards:

• 2024: National Science Foundation (NSF) Engineering Research Initiation Grant ($200,000) for cognitive radar/communication systems research

Teaching & Mentorship:

Hamza emphasizes hands-on learning in courses like RF systems design and signal processing. He mentors students in lab-based projects involving radar prototypes and AI algorithms, supported by NSF-funded initiatives.

Labs & Collaborations:

His lab at Widener develops radar systems for automotive safety and healthcare applications, leveraging machine learning to enhance signal detection accuracy in noisy environments.